Persyaratan
- BSc Degree in a quantitative field such as Mathematics, Statistics, Information Technology (i.e.
Analytics/Computer Science/Information Systems).
- Experience with less than 2 years of relevant work experience with demonstrated expertise in using information to analyze business performance, identify opportunities and solve problems.
Fresh graduates with demonstrated Analytical competencies will be considered
- Proficient in Python, SQL programming languages to develop advanced analytical models (forecasts, simulations, and optimizations).
- Strong analytical and problem-solving skills, and ability to work with incomplete or imperfect data
- Ability to build and interpret probabilistic models of complex, high-dimensional systems is a plus
- Knowledge of natural language processing, text mining, Random Forest and Ensemble Models is a plus.
- Demonstrated characteristics of a forward thinker and self-motivator that thrives on new challenges and adapts to learning new knowledge.
- Participants of data science competitions and hackatons (i.e.
Dextra, Kaggle, KDD Cup) are highly regarded.
Tanggung Jawab
More specifically, the data scientist is expected to understand the alignment between business strategy and information requirements, and participate in all phases of projects, including ideation, business case development and project definition, data discovery and preparation, model development, and finally assessing options and making recommendations.
The Data Scientist will work on a variety of projects to help our business by increasing revenue, reducing cost and risk, and improving cash flow, compliance, policies, process and service levels.
- Find data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses.
- Use tools such as Python, SQL programming languages to develop advanced analytical models (forecasts, simulations, and optimizations).
Draw conclusions, options, and recommendations.
- Make recommendations that aid in the realization of value and sustaining analytical activities, which seek to embed analytical tools within business processes.
- Stay current with industry best practices and trends.